Table 3. Multiple regression analysis: Prediction of the best PSA response or the percentage of change in PSA from PSMA, baseline PSA, baseline BSI, and Gleason sum (39 CTC-positive patients).
| Variable | t value | P value |
|---|---|---|
| Model: R2 = 0.345, F = 4.090, P = 0.008 | ||
| PSMA (positive/negative) | 3.39 | 0.001 |
| Baseline PSA (ng/ml) | 0.15 | 0.883 |
| Baseline BSI (%) | -0.91 | 0.367 |
| Gleason sum (6-8/9-10) | 0.93 | 0.359 |
The result of ANOVA for this model is indicated in the upper table (P = 0.008). R2 is R square for multiple regression equation. F is the probability of F associated with multiple regression.